MCP server for enabling memory for Claude through a knowledge graph
Using TypeScript as a knowledge base
A Software Development Kit (SDK) for Zero-Knowledge Transactions
Ship compositional knowledge for AI coding agents alongside your npm packages
AI coding agent
Minimal GraphQL client supporting Node and browsers for scripts or simple apps.
Knowledge graph subsystem for Grackle (Neo4j + vector search)
Memory module - AgentDB unification, HNSW indexing, vector search, hybrid SQLite+AgentDB backend (ADR-009)
[](https://github.com/bitcoinjs/bip174/actions/workflows/main_ci.yml) [](https://www.npmjs.org/package/bip174)
Reusable libraries for Entodicton, a natural language to json converter
Reusable libraries for Entodicton, a natural language to json converter
AI Memory & Knowledge Management MCP Server — 32 tools, BM25 R@5=95%, hybrid search (RRF), knowledge graph, analytics, cloud sync, Obsidian compatible. Works with Claude Code, Cursor, Gemini CLI, Windsurf, hermes-agent.
Builds and maintains a per-repo knowledge base from AI coding sessions, for use with Claude Code.
Generic knowledge graph SDK on top of Neo4j with vector search, graph traversal, and pluggable embedders/chunkers
Knowledge graph plugin for Grackle — Neo4j, embeddings, and knowledge MCP tools
The Rsbuild-based library development tool.
Reusable libraries for Entodicton, a natural language to json converter
Source-grounded, eval-gated knowledge growth primitives for agents.
This package provides building blocks to create framework-level integration of Apollo Client with React's streaming SSR. See the [@apollo/client-integration-nextjs](https://github.com/apollographql/apollo-client-integrations/tree/main/packages/nextjs) pac
GoodVibes personal operator assistant TUI with a proactive Agent product brain, isolated Agent Knowledge, local profiles, routines, skills, personas, and explicit build delegation.
React components for Skia-based charts, widgets, and visualizations using CanvasKit WASM
Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP in
Javascript library for interaction with the OriginTrail Decentralized Knowledge Graph
HTTP daemon and CLI for agent-driven browser extension testing with Playwright
Knowledge layer — knowledge graphs, BKS/PKS, brain client, entity extraction for the Brainwires Agent Framework. RAG / spectral / code-analysis live in `brainwires-rag`; prompting lives in `brainwires-prompting`.
Adaptive prompting techniques, K-means task clustering, and temperature optimization for the Brainwires Agent Framework
Speech (TTS / STT) provider clients for the Brainwires Agent Framework — Azure Speech, Cartesia, Deepgram, ElevenLabs, Fish Audio, Google TTS, Murf, plus browser-native `web_speech` (wasm32)
Codebase indexing + hybrid retrieval (vector + BM25) for the Brainwires Agent Framework. Includes AST-aware chunking via tree-sitter (12 languages), Git history search, and reranking via spectral diversity / cross-encoder.
Built-in concrete tools for the Brainwires Agent Framework — bash, file_ops, git, web, search, code_exec, semantic_search, browser, email, calendar, system. Built on `brainwires-tool-runtime`.
Tool execution runtime for the Brainwires Agent Framework — executor trait, registry, error taxonomy, sanitization, validation, transactions, smart router, plus optional orchestrator / OAuth / OpenAPI / sandbox / sessions / RAG-tool-search modules
Self-Evolving Agentic Learning (SEAL) for the Brainwires Agent Framework — coreference resolution, query-core extraction, learned-pattern store (LanceDB-backed), reflection, knowledge integration
Layer 3 reasoning — plan/output parsers + provider-agnostic local-inference scorers (router, complexity, relevance, retrieval, strategy, summariser, validator, entity enhancer) for the Brainwires Agent Framework
The Brainwires Agent Framework — build any AI application in Rust
Agent coordination primitives + multi-agent patterns for the Brainwires Agent Framework — communication hub, file/resource locks, task manager/queue, git coordination, contract net, saga, optimistic concurrency, market allocation, workflow graph, three-state model. LLM-driven workhorses live in `brainwires-inference`.
Backend-agnostic storage, tiered memory, and document management for the Brainwires Agent Framework